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Chapter


Title

Controlling of the Upper Limb Prosthesis Using Camera and Artificial Neural Networks

Authors

[ 1 ] Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ 2 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.4] Biomedical engineering
[2.8] Mechanical engineering

Year of publication

2018

Chapter type

chapter in monograph

Publication language

english

Keywords
EN
  • prosthetic hand
  • artificial neural networks
  • convolutional neural networks
  • grasp classification
Abstract

EN The loss of the upper limb, especially the hand, can affect the level of autonomy. Developing an effective control system for the upper limb prostheses could improve the quality of users’ life. The aim of this project was to design artificial neural networks for automatic grasp classification. A subset of the grips allowing to perform everyday activities was proposed. The proposed artificial neural networks were evaluated and the maximal accuracy reached 97%.

Date of online publication

01.06.2022

Pages (from - to)

301 - 310

DOI

10.1007/978-3-030-99112-8_30

URL

https://link.springer.com/chapter/10.1007/978-3-030-99112-8_30

Book

Innovations in Biomedical Engineering

Presented on

Conference on Innovations in Biomedical Engineering (IBE 2017), 19-20.10.2017, Zabrze, Polska

Points of MNiSW / chapter

20.0

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